1

Computer Science Manager Jobs in Escondido, CA (NOW HIRING)

... managing projects under time constraints and collaborating with cross-functional teams ... Qualifications : Required : • MS or PhD degree in computer science, engineering, physics ...

Manage these projects under time constraints, working with other teams within FICO to provide high ... Qualifications : Required : • MS or PhD degree in computer science, engineering, physics ...

Manage these projects under time constraints, working with other teams within FICO to provide high ... Qualifications : Required : • MS or PhD degree in computer science, engineering, physics ...

... management for power, timing, clocking, interfaces • Formal Verification for RTL-netlist and ... OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related ...

Sr. AI/ML Engineer - Life Science

San Diego, CA · On-site

$110K - $152K/yr

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as ... Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine ...

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as ... Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine ...

Sr. AI/ML Engineer - Life Science

San Diego, CA · On-site

$110K - $152K/yr

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as ... Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine ...

QUALIFICATIONS Master's or Bachelor's degree in Computer Science, Management Information Science, Engineering, or a related technical field with at least 4 - 8 years of relevant experience in the ...

Showing results 41-60

Computer Science Manager information

See Escondido, CA salary details

$9

$27

$56

How much do computer science manager jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for computer science manager in Escondido, CA is $27.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $34.23 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Manager vs Software Development Manager?

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

What are the most commonly searched types of Computer Science jobs in Escondido, CA? The most popular types of Computer Science jobs in Escondido, CA are:
What cities near Escondido, CA are hiring for Computer Science Manager jobs? Cities near Escondido, CA with the most Computer Science Manager job openings:

Analytic Science Lead Scientist

FICO

San Diego, CA • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
FICO is a leading global analytics software company, helping businesses in 100+ countries make better decisions. The Analytic Science Lead Scientist will work with large amounts of real-world data, ensuring data quality and building high-end analytic models while managing projects under time constraints and collaborating with cross-functional teams.
Responsibilities:
• Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.
• Research and select appropriate statistical methods and computational algorithms.
• Build and/or oversee teams building high-end analytic models for relevant problems using statistical modeling techniques.
• Manage these projects under time constraints, working with other teams within FICO to provide high quality support to enable integration and deployment of analytics software and solutions.
• Assist with model go-lives by performing production data validations and analysis of models in production.
• Assist with client meetings to investigate and resolve problems.
• Apply data mining methodology in thorough analyses of model behaviors and provide support for customer meetings, model construction and pre-sales.
• May also participate in post-implementation support.
Qualifications:
Required:
• MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with significant years of hands-on related experience in predictive modeling and data mining.
• Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.
• Proven ability to lead cross functional teams on medium to large scale projects and handling client interactions requiring strong communication skills.
• Strong scripting experience using Perl, Bash, or similar.
• Experience working with two of the following: Java, Python, C++ or C.
• Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.
Company:
Fair Isaac Corporation enables businesses to automate, improve, and connect decisions to enhance business performance. It is a sub-organization of FICO. Founded in 1956, the company is headquartered in Bozeman, USA, with a team of 1001-5000 employees. The company is currently Late Stage.